class_docstr: A model API that tags input sentence.
  
  Attributes:
      model: Model.
      preprocessor: Transformer. Preprocessing data for feature extraction.
      tokenizer: Tokenize input sentence. Default tokenizer is `str.split`.
code: def __init__(self, model, preprocessor, tokenizer=str.split):
      self.model = model
      self.preprocessor = preprocessor
      self.tokenizer = tokenizer
  
file_path: ktrain/ktrain/text/ner/anago/tagger.py
imports: from ....imports import *
  from ..None import metrics
label_desc: Use image node_id 1 to create a new Tagger object from inherited base classes: object with example: obj = Tagger(model, preprocessor, tokenizer)